Controller Feedback for Propagating Effects in Complex Systems
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Solution Overview
Problem
Complex systems face challenges in controlling overall performance due to the uncertainty and complexity of interactions between components, where actions taken to improve individual components can negatively impact overall system performance through propagating effects.
Innovation Solution
A controller system with detection and modification modules that monitor and respond to changes in system objects, applying personalized actions to individual objects and mitigating actions to other affected objects to optimize system performance based on predefined metrics, while considering constraints like resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If actions are taken to improve individual components, then component-level performance is enhanced, but uncertainty regarding propagating effects makes it difficult to predict the impact on global system performance
Solution Approach 1:
The controller implements feedback by monitoring the state of second objects after applying a modifying action to a first object. Based on the observed effects, the system adjusts and optimizes the mitigating action to counteract adverse propagating effects, thereby reducing uncertainty and improving predictability of global system performance.
Solution Approach 2:
The controller performs preliminary action by identifying and adjusting second objects before the negative propagating effects fully develop. By proactively determining mitigating actions based on predicted propagation paths, the system reduces uncertainty about the impact of component-level improvements on overall system performance.
2Reliability
If multiple modifying actions are applied to different components, then local performance improvements accumulate, but the complexity of managing interactions between components increases
Solution Approach 1:
The controller divides the complex system into distinct first objects and second objects, with separate control modules for each. This segmentation simplifies the management of interactions by treating different component groups independently, reducing the overall control complexity while maintaining the ability to manage multiple modifying actions.
Data Source
AI summary
A controller and method for controlling objects states in a complex system. A change in state of at least one first object in the system is detected. A first modifying action to the at least one first object in response to the detected change in state is determined, and output to be applied to the at least one first object. A change in state of at least one second object from the plurality of system objects different from the at least one first object is detected, where the change in state of the at least one second object is a result of the first modifying action being applied to the at least one first object. A second modifying action is determined and output to be applied to the system to improve system performance according to the performance metric after the first modifying action is applied.